

Essential Responsibilities:
Expected Qualifications:
Key Responsibilities:
Research and develop large-scale foundation models, including continuous pre-training, supervised fine-tuning, and alignment techniques
Design novel architectures and training methodologies for domain-specific language models in financial services
Build scalable ML pipelines for foundation model training, evaluation, and deployment at enterprise scale
Conduct rigorous experimentation and benchmarking to ensure model quality, safety, and performance
Deploy foundation models into production environments to drive business insights and enhance customer experiences
Collaborate with cross-functional teams to identify high-impact use cases and translate research into practical solutions
Stay current with latest developments in LLM and LLM-Agent research and contribute to the broader AI/ML community through publications and open-source contributions
Mentor junior researchers and contribute to technical strategy for foundation model initiatives
Preferred Qualifications:
PhD in Computer Science, Machine Learning, AI, or related field with focus on large language models and LLM Agent
1-3+ years of hands-on experience training and deploying large-scale language models (7B+ parameters)
Deep expertise in transformer architectures, attention mechanisms, and modern training techniques
Experience with distributed training frameworks (PyTorch, JAX, DeepSpeed, etc.)
Strong background in NLP, deep learning, and statistical machine learning
Proven track record of research publications in top-tier venues (NeurIPS, ICML, ACL, etc.)
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $169,500 to $291,500
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
Additional Responsibilities & Preferred Qualifications
WhereExperience Strategydefines theand
This is not just a UX strategy or systems design role—it’s both. You will lead the practice of Experience Architecture: the structuring of journeys, flows, navigation, taxonomy, and interaction models into a unified, extensible system. Your work will ensure that every interaction fits together to form a complete, coherent whole—one that reflects our brand, reinforces behavior, and reduces experience entropy as we scale.
Key Responsibilities
Architect the Experience Ecosystem
Lead Horizontal Experience Strategy
Architect critical cross-product journeys (e.g., Account, Wallet, Rewards) that unify the customer experience across silos.
Own and Govern Taxonomy & Information Architecture
Partner with Content Design, Product Design, and Engineering to establish scalable IA systems and navigational models.
Advance Service Design & System Mapping
Connect frontstage flows to backstage systems and operational logic; drive service blueprinting across the product lifecycle.
Drive CX Improvements
Identify and resolve systemic customer experience issues across surfaces, workflows, and product areas through architectural interventions—not just interface refinements.
Partner with Design Systems
Collaborate to encode architectural logic into reusable components and interaction frameworks, ensuring real behavior is reflected—not just UI consistency.
Transform Experience Delivery
Work with Product Ops and PMO to embed architectural checkpoints into planning, roadmapping, and SDLCprocesses—acceleratingdelivery while protecting experience integrity.
Qualifications
12+ years of experience in experience design, UX architecture, or systems design, with a strong portfolio demonstrating strategic impact.
Proven leadership in structuring complex digital ecosystems and scaling design systems.
Deep expertise in journey mapping, taxonomy design, interaction modeling, and platform strategy.
Exceptional communication and storytelling skills, with the ability to influence across disciplines and levels.
Experience working in large-scale, matrixed organizations with a focus on platform thinking and design maturity.
Preferred Skills
Experience with enterprise platforms, developer tools, or internal design infrastructure.
Familiarity with accessibility standards, localization, and inclusive design practices.
Strategic mindset with a bias for action and a passion for enabling great design at scale.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $188,000 to $323,950Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $188,000 to $323,950
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
Product & Performance Initiatives
Data-Driven Execution
AI & Emerging Technology
Cross-Functional Leadership
Experience
Skills & Competencies
Education
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $188,000 to $323,950Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $188,000 to $323,950
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $152,500 to $262,350
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
Your Day-to-Day
Design, develop, and evolve Commerce Agentic System, advancing its reasoning, memory, and action layers to create dynamic, context-aware user experiences.
Fine-tune large language models (LLMs) for commerce and shopping applications, ensuring robust alignment, safety, and personalization.
Implement and extend agentic frameworks such as A2A (Agent-to-Agent), MCP (Model Context Protocol),LangGraph, orsimilar toenable complex multi-agent interactions.
Perform advanced context and prompt engineering,optimizingmulti-turn, multi-source model orchestration for superior performance and responsiveness.
Collaborate cross-functionally with product, design, and platform engineering teams to define the next generation of agentic capabilities and AI interface strategies.
Experiment with reinforcement learning, retrieval-augmented generation (RAG), and online adaptation to refine agent behavior and enhance response quality.
Build scalable, production-ready pipelines for model training, evaluation, and continuous improvement.
Communicate insights and technical trade-offs clearly to influence both engineering decisions and PayPal’s broader AI strategy.
Bring
Master’s degree (or higher) in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline.
5+ years of relevant industry experience (or 4+ years with a PhD).
Deep understanding of Transformer architectures and hands-on experience with fine-tuning LLMs for production use cases.
proficiencyin Python and ML frameworks such asPyTorch, TensorFlow, or JAX.
Demonstrated experience with Agentic frameworks such as A2A, MCP,LangGraph,LangChainorsimiliar, and an understanding of Agent-Oriented Design patterns.
Experience building context-aware conversational systems, integrating multi-source data for reasoning and response generation.
Knowledge of LLM and agentic evaluation methodologies, including prompt testing, offline metrics, and human feedback loops.
Familiarity withMLOps/LLMOpspractices — model deployment, monitoring, and continuous retraining at scale.
Excellent communication skills with the ability to collaborate across engineering, research, and product teams.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $169,500 to $291,500
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
Key Responsibilities:
Research and develop large-scale foundation models, including continuous pre-training, supervised fine-tuning, and alignment techniques
Design novel architectures and training methodologies for domain-specific language models in financial services
Build scalable ML pipelines for foundation model training, evaluation, and deployment at enterprise scale
Conduct rigorous experimentation and benchmarking to ensure model quality, safety, and performance
Deploy foundation models into production environments to drive business insights and enhance customer experiences
Collaborate with cross-functional teams to identify high-impact use cases and translate research into practical solutions
Stay current with latest developments in LLM and LLM-Agent research and contribute to the broader AI/ML community through publications and open-source contributions
Mentor junior researchers and contribute to technical strategy for foundation model initiatives
Preferred Qualifications:
PhD in Computer Science, Machine Learning, AI, or related field with focus on large language models and LLM Agent
1-3+ years of hands-on experience training and deploying large-scale language models (7B+ parameters)
Deep expertise in transformer architectures, attention mechanisms, and modern training techniques
Experience with distributed training frameworks (PyTorch, JAX, DeepSpeed, etc.)
Strong background in NLP, deep learning, and statistical machine learning
Proven track record of research publications in top-tier venues (NeurIPS, ICML, ACL, etc.)
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $169,500 to $291,500
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך